<p>PCA on the traditional morphometrics data, excluding ovariole number and spermatheca size.</p
<p>Principal component analysis (PCA) scores plot from low, intermediate and high MEE groups.</p
The principal component analysis (PCA) is a kind of algorithms in biometrics. It is a statistics tec...
Principal component analysis (PCA) scatterplots based on optimal character combinations for each of ...
<p>PCA on the data from traditional morphometrics, excluding ovariole number and spermatheca size.</...
<p>PCA on the data of all morphometric traits produced by traditional morphometrics. Morphological m...
PCA of the quantile normalized dataset consisting of 32 mouse uterine RNA samples. The colours repre...
<p>First component (PC1) describes sperm motility and second component (PC2) curvature of sperm swim...
<p>Principal components analysis of morphometric measurements of Asian <i>Muscicapa</i> taxa.</p
Principal components analysis (PCA) is a multivariate ordination technique used to display patterns ...
<p>Spawned and stripped oocytes are identified by prefixes SP and ST, respectively. Different circle...
<p>Proportion of variance, Eigen values and coefficients (loadings) of the first two principal compo...
<p>(A) Principal component analysis (PCA). The 32 samples are projected onto the 2D plane such that ...
<p>The axes of the plot represent first two main components of variance, obtained by performing prin...
A to C show the results of the PCA based on the 2D plane corresponding to the first 2 axes. D to F s...
<p>Principal Component Analysis (PCA) of microarray data. PCA two-dimensional scatter plot represent...
<p>Principal component analysis (PCA) scores plot from low, intermediate and high MEE groups.</p
The principal component analysis (PCA) is a kind of algorithms in biometrics. It is a statistics tec...
Principal component analysis (PCA) scatterplots based on optimal character combinations for each of ...
<p>PCA on the data from traditional morphometrics, excluding ovariole number and spermatheca size.</...
<p>PCA on the data of all morphometric traits produced by traditional morphometrics. Morphological m...
PCA of the quantile normalized dataset consisting of 32 mouse uterine RNA samples. The colours repre...
<p>First component (PC1) describes sperm motility and second component (PC2) curvature of sperm swim...
<p>Principal components analysis of morphometric measurements of Asian <i>Muscicapa</i> taxa.</p
Principal components analysis (PCA) is a multivariate ordination technique used to display patterns ...
<p>Spawned and stripped oocytes are identified by prefixes SP and ST, respectively. Different circle...
<p>Proportion of variance, Eigen values and coefficients (loadings) of the first two principal compo...
<p>(A) Principal component analysis (PCA). The 32 samples are projected onto the 2D plane such that ...
<p>The axes of the plot represent first two main components of variance, obtained by performing prin...
A to C show the results of the PCA based on the 2D plane corresponding to the first 2 axes. D to F s...
<p>Principal Component Analysis (PCA) of microarray data. PCA two-dimensional scatter plot represent...
<p>Principal component analysis (PCA) scores plot from low, intermediate and high MEE groups.</p
The principal component analysis (PCA) is a kind of algorithms in biometrics. It is a statistics tec...
Principal component analysis (PCA) scatterplots based on optimal character combinations for each of ...
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